Classical structural biology equates function with a fixed three-dimensional fold, a view challenged by intrinsically disordered proteins (IDPs) and regions (IDRs), which populate broad conformational ensembles rather than a unique structure. This article introduces the “disordome” paradigm, extending Uversky’s “unfoldome” to describe how function emerges from electrostatic and hydration landscapes that reshape reversibly upon encounter with a partner. Using α-synuclein binding to ganglioside-enriched rafts and IDR-driven liquid–liquid phase separation, we argue that transient folding-upon-binding events, potentially entropically cheap, generate information-rich complexes and condensates that dissolve once conditions change, consistent with the second law of thermodynamics. We trace this logic to overlooked precursors: in 1957 Klotz invoked rubber elasticity to introduce entropy as the driver of protein “disorientation”, while in 1962 Bernal described such proteins as chains “coiled in different ways” and formulated a “two-atom rule” whereby bonding constraints fix atomic geometry only up to two atoms apart. We argue that the local under-determination described by this two-atom rule, left unresolved in IDPs by any conserved network of contacts, helps explain why AlphaFold fails on IDPs. A quantum-mechanical pillar (dispersion, OH–π contacts, tunneling) is proposed as underrepresented in IDP research. We discuss implications for the origin of life, cellular regulation via condensates, and a therapeutic logic (“target the target, not the arrow”) illustrated by AmyP53, which occupies raft gangliosides rather than disordered amyloid proteins in Alzheimer’s and Parkinson’s diseases.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.